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Assessment of delivered dose in prostate cancer patients treated with ultra-hypofractionated radiotherapy on 1.5-Tesla MR-Linac
OBJECTIVE: To quantitatively characterize the dosimetric effects of long on-couch time in prostate cancer patients treated with adaptive ultra-hypofractionated radiotherapy (UHF-RT) on 1.5-Tesla magnetic resonance (MR)-linac. MATERIALS AND METHODS: Seventeen patients consecutively treated with UHF-R...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893501/ https://www.ncbi.nlm.nih.gov/pubmed/36741014 http://dx.doi.org/10.3389/fonc.2023.1039901 |
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author | Gao, Lin-Rui Tian, Yuan Wang, Ming-Shuai Xia, Wen-Long Qin, Shi-Rui Song, Yong-Wen Wang, Shu-Lian Tang, Yu Fang, Hui Tang, Yuan Qi, Shu-Nan Yan, Ling-Ling Liu, Yue-Ping Jing, Hao Chen, Bo Xing, Nian-Zeng Li, Ye-Xiong Lu, Ning-Ning |
author_facet | Gao, Lin-Rui Tian, Yuan Wang, Ming-Shuai Xia, Wen-Long Qin, Shi-Rui Song, Yong-Wen Wang, Shu-Lian Tang, Yu Fang, Hui Tang, Yuan Qi, Shu-Nan Yan, Ling-Ling Liu, Yue-Ping Jing, Hao Chen, Bo Xing, Nian-Zeng Li, Ye-Xiong Lu, Ning-Ning |
author_sort | Gao, Lin-Rui |
collection | PubMed |
description | OBJECTIVE: To quantitatively characterize the dosimetric effects of long on-couch time in prostate cancer patients treated with adaptive ultra-hypofractionated radiotherapy (UHF-RT) on 1.5-Tesla magnetic resonance (MR)-linac. MATERIALS AND METHODS: Seventeen patients consecutively treated with UHF-RT on a 1.5-T MR-linac were recruited. A 36.25 Gy dose in five fractions was delivered every other day with a boost of 40 Gy to the whole prostate. We collected data for the following stages: pre-MR, position verification-MR (PV-MR) in the Adapt-To-Shape (ATS) workflow, and 3D-MR during the beam-on phase (Bn-MR) and at the end of RT (post-MR). The target and organ-at-risk contours in the PV-MR, Bn-MR, and post-MR stages were projected from the pre-MR data by deformable image registration and manually adapted by the physician, followed by dose recalculation for the ATS plan. RESULTS: Overall, 290 MR scans were collected (85 pre-MR, 85 PV-MR, 49 Bn-MR and 71 post-MR scans). With a median on-couch time of 49 minutes, the mean planning target volume (PTV)-V(95%) of all scans was 97.83 ± 0.13%. The corresponding mean clinical target volume (CTV)-V(100%) was 99.93 ± 0.30%, 99.32 ± 1.20%, 98.59 ± 1.84%, and 98.69 ± 1.85%. With excellent prostate-V(100%) dose coverage, the main reason for lower CTV-V(100%) was slight underdosing of seminal vesicles (SVs). The median V(29 Gy) change in the rectal wall was -1% (-20%–17%). The V(29 Gy) of the rectal wall increased by >15% was observed in one scan. A slight increase in the high dose of bladder wall was noted due to gradual bladder growth during the workflow. CONCLUSIONS: This 3D-MR–based dosimetry analysis demonstrated clinically acceptable estimated dose coverage of target volumes during the beam-on period with adaptive ATS workflow on 1.5-T MR-linac, albeit with a relatively long on-couch time. The 3-mm CTV-PTV margin was adequate for prostate irradiation but occasionally insufficient for SVs. More attention should be paid to restricting high-dose RT to the rectal wall when optimizing the ATS plan. |
format | Online Article Text |
id | pubmed-9893501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98935012023-02-03 Assessment of delivered dose in prostate cancer patients treated with ultra-hypofractionated radiotherapy on 1.5-Tesla MR-Linac Gao, Lin-Rui Tian, Yuan Wang, Ming-Shuai Xia, Wen-Long Qin, Shi-Rui Song, Yong-Wen Wang, Shu-Lian Tang, Yu Fang, Hui Tang, Yuan Qi, Shu-Nan Yan, Ling-Ling Liu, Yue-Ping Jing, Hao Chen, Bo Xing, Nian-Zeng Li, Ye-Xiong Lu, Ning-Ning Front Oncol Oncology OBJECTIVE: To quantitatively characterize the dosimetric effects of long on-couch time in prostate cancer patients treated with adaptive ultra-hypofractionated radiotherapy (UHF-RT) on 1.5-Tesla magnetic resonance (MR)-linac. MATERIALS AND METHODS: Seventeen patients consecutively treated with UHF-RT on a 1.5-T MR-linac were recruited. A 36.25 Gy dose in five fractions was delivered every other day with a boost of 40 Gy to the whole prostate. We collected data for the following stages: pre-MR, position verification-MR (PV-MR) in the Adapt-To-Shape (ATS) workflow, and 3D-MR during the beam-on phase (Bn-MR) and at the end of RT (post-MR). The target and organ-at-risk contours in the PV-MR, Bn-MR, and post-MR stages were projected from the pre-MR data by deformable image registration and manually adapted by the physician, followed by dose recalculation for the ATS plan. RESULTS: Overall, 290 MR scans were collected (85 pre-MR, 85 PV-MR, 49 Bn-MR and 71 post-MR scans). With a median on-couch time of 49 minutes, the mean planning target volume (PTV)-V(95%) of all scans was 97.83 ± 0.13%. The corresponding mean clinical target volume (CTV)-V(100%) was 99.93 ± 0.30%, 99.32 ± 1.20%, 98.59 ± 1.84%, and 98.69 ± 1.85%. With excellent prostate-V(100%) dose coverage, the main reason for lower CTV-V(100%) was slight underdosing of seminal vesicles (SVs). The median V(29 Gy) change in the rectal wall was -1% (-20%–17%). The V(29 Gy) of the rectal wall increased by >15% was observed in one scan. A slight increase in the high dose of bladder wall was noted due to gradual bladder growth during the workflow. CONCLUSIONS: This 3D-MR–based dosimetry analysis demonstrated clinically acceptable estimated dose coverage of target volumes during the beam-on period with adaptive ATS workflow on 1.5-T MR-linac, albeit with a relatively long on-couch time. The 3-mm CTV-PTV margin was adequate for prostate irradiation but occasionally insufficient for SVs. More attention should be paid to restricting high-dose RT to the rectal wall when optimizing the ATS plan. Frontiers Media S.A. 2023-01-19 /pmc/articles/PMC9893501/ /pubmed/36741014 http://dx.doi.org/10.3389/fonc.2023.1039901 Text en Copyright © 2023 Gao, Tian, Wang, Xia, Qin, Song, Wang, Tang, Fang, Tang, Qi, Yan, Liu, Jing, Chen, Xing, Li and Lu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Gao, Lin-Rui Tian, Yuan Wang, Ming-Shuai Xia, Wen-Long Qin, Shi-Rui Song, Yong-Wen Wang, Shu-Lian Tang, Yu Fang, Hui Tang, Yuan Qi, Shu-Nan Yan, Ling-Ling Liu, Yue-Ping Jing, Hao Chen, Bo Xing, Nian-Zeng Li, Ye-Xiong Lu, Ning-Ning Assessment of delivered dose in prostate cancer patients treated with ultra-hypofractionated radiotherapy on 1.5-Tesla MR-Linac |
title | Assessment of delivered dose in prostate cancer patients treated with ultra-hypofractionated radiotherapy on 1.5-Tesla MR-Linac |
title_full | Assessment of delivered dose in prostate cancer patients treated with ultra-hypofractionated radiotherapy on 1.5-Tesla MR-Linac |
title_fullStr | Assessment of delivered dose in prostate cancer patients treated with ultra-hypofractionated radiotherapy on 1.5-Tesla MR-Linac |
title_full_unstemmed | Assessment of delivered dose in prostate cancer patients treated with ultra-hypofractionated radiotherapy on 1.5-Tesla MR-Linac |
title_short | Assessment of delivered dose in prostate cancer patients treated with ultra-hypofractionated radiotherapy on 1.5-Tesla MR-Linac |
title_sort | assessment of delivered dose in prostate cancer patients treated with ultra-hypofractionated radiotherapy on 1.5-tesla mr-linac |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893501/ https://www.ncbi.nlm.nih.gov/pubmed/36741014 http://dx.doi.org/10.3389/fonc.2023.1039901 |
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